Observed Signal · Jun 12, 2026 · Product Launch · Source: t3n · Impact: 3/5 · Sentiment: Neutral
Deezer launches tool to detect AI-generated songs
Deezer has released a free cross-platform AI music detector that lets users scan playlists on 20 apps (including Spotify, Apple Music, SoundCloud and YouTube Music) to check for AI-generated tracks. The detector supports 27 languages and can connect to a user’s account to analyse and share results, but it does not reveal which specific songs are flagged. Deezer says it removes AI-generated music from recommendations and editorial playlists, reports being flooded with nearly 75,000 AI titles daily (~2 million monthly), and claims around 85% of flagged AI tracks can be demonetized as fraudulent. Deezer filed two patents for its detection technology in December 2024 and cites studies showing many listeners cannot reliably identify AI music and want clearer labelling.
A cross-platform AI-music detector from a streaming service affects content integrity and transparency in audio streaming; it may influence how platforms moderate AI-generated tracks, impact revenue for rights-holders, and inform advertising inventory quality on audio channels.
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Key Takeaways & Evidence Grounding
- Deezer released a free AI music detection tool that can scan playlists across 20 apps, including Spotify, Apple Music, SoundCloud and YouTube Music.
- The detector supports 27 languages, connects to user accounts to scan playlists, and allows sharing of analysis results but does not list which individual songs are AI-generated.
- Deezer reports being uploaded with about 75,000 AI-generated titles daily (over two million per month) and estimates 85% of these can be classified as fraudulent and demonetized.
- Deezer cites that 43% of users switching from other apps have AI music in their playlists and that a November study found 97% of respondents could not reliably identify AI-generated songs.
- Deezer filed two patents for its AI-music detection technology in December 2024.
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Related Market Signals & Shifts
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Deezer launches cross-platform AI music detector
Deezer has published a free cross-platform tool that scans user accounts and playlists for AI-generated music. The company says 43% of users who switch from other services to Deezer have AI tracks in their playlists, often unknowingly. Deezer reports being flooded with roughly 75,000 AI-generated tracks per day (over two million per month) and estimates about 44% of new releases are AI-generated. The detector is compatible with 20 apps (including Spotify, Apple Music, Soundcloud and YouTube Music), supports 27 languages, and lets users share analysis results; it does not, however, mark which individual songs are AI-generated. Deezer has previously filed patents for detection technology and actively removes or demonetizes suspected AI tracks from recommendations and editorial playlists.
Deezer: 44% of Daily Uploads Are AI-Generated
Deezer announced that AI-generated tracks now make up 44% of all new music uploaded to its platform, receiving roughly 75,000 AI tracks per day (over 2 million per month). Consumption of AI music on Deezer remains low (1–3% of total streams), and the company says 85% of those AI-track streams are identified as fraudulent and are demonetized. Deezer has been tagging AI content at platform level since June 2025, removed tagged songs from algorithmic recommendations and editorial playlists, and will stop storing hi-res versions of AI tracks. The company cited survey results showing listeners struggle to tell AI from human-made music and urged industry action; other services (Qobuz, Spotify, Apple Music) are taking varied approaches.
Deezer: Over 50% of Daily Uploads Are AI-Generated
Deezer reports that AI-generated music now makes up more than half of daily uploads to its platform, with a peak in June 2026 averaging 90,000 AI tracks per day. The company plans to remove AI-generated tracks that haven't been streamed in the past six months or that are linked to fraudulent streaming. Deezer has been tracking AI music growth since 2025, deployed labeling and detection technology (capable of identifying outputs from Suno and Udio), and has made its detection tools available to other platforms.
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